iPad Air (5th generation)
Geekbench AI Score
2222
Single Precision Score
3544
Half Precision Score
2860
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (HP)
|
100% |
1434
266.7 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1657
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4279
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
9070
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
7743
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
97% |
1633
130.0 IPS |
|
|
Object Detection (Q)
|
94% |
1146
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
2088
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3850
29.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7271
56.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4982
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11435
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17274
22.2 IPS |
|
|
Style Transfer (Q)
|
96% |
14278
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2131
78.7 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2601
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2844
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3084
53.3 IPS |
